In this paper, coupling measure based on mutual mode entropy (MME) was applied to calculating the statistical complexity of the basic alpha rhythm extracted from the electroencephalogram (EEG) signals, which involved two groups of people, the teenager and the adult. The results show that the alpha rhythms extracted from the adult has a higher MME, which means the indication of higher statistical complexity. The following Independent Sample T Test proved that above-mentioned analysis could disclose significant differences among these two signals' complexity.
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